Given a population of vectors with lengths drawn from a normal distribution with a mean of 60, and variance of 30 (for example), how can I create a 1-D random walk with some ending probability p at each step, so that generated random walks will have a length equivalent to those from the observed distribution?
2026-03-10 03:49:56.1773114596
Creating 1-D random walks to have lengths equal to some observed distribution of path lengths.
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